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Seeing Gravity: Gait Adaptations to Visual and Physical Inclines - A Virtual Reality Study
Desiderio Cano Porras1,2,3, Gabriel Zeilig4,5, Glen M Doniger1,6,7
1Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Frontiers in Neuroscience
|February 11, 2020
Summary
Humans use visual cues from virtual reality to adjust walking based on perceived gravity, showing indirect prediction. Over time, they prioritize body-based senses over visual input for better adaptation.
Area of Science:
- Neuroscience
- Biomechanics
- Human Perception
Background:
- Gravity significantly influences human movement regulation.
- Understanding how humans perceive and integrate gravity into locomotion remains a challenge.
- Existing research lacks paradigms for analyzing locomotion under incongruent sensory information and gravitational effects.
Purpose of the Study:
- To investigate the role of visual perception in anticipating and adapting to gravitational forces during locomotion.
- To introduce a novel virtual reality (VR) paradigm for studying sensory-based gravity perception.
- To analyze locomotor adaptations to both physical and visually simulated inclines.
Main Methods:
- Utilized advanced virtual reality technology to simulate inclined walking.
- Exposed young healthy adults to both actual physical inclinations and virtual inclinations.
- Identified and quantified 'braking' and 'exertion' effects as locomotor adaptations.
Main Results:
- Purely visual cues from virtual inclinations induced gait modulations consistent with expected gravitational forces.
- Downhill visual cues triggered a 'braking' effect, while uphill cues initiated an 'exertion' effect, demonstrating indirect prediction.
- Participants initially relied on visual cues but gradually shifted to body-based cues through sensory reweighting.
Conclusions:
- Vision plays a crucial role in the indirect prediction and adaptation to gravity-based changes during locomotion.
- A sensory reweighting mechanism allows for the prioritization of proprioceptive information over visual cues over time.
- Findings suggest potential applications for VR in understanding perception-action in complex environments and for rehabilitation.

